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Related Questions
- What are the key differences between transfer learning and domain adaptation in language models?
- How does transfer learning enable language models to generalize to new tasks and domains?
- Can you provide examples of successful applications of transfer learning and domain adaptation in real-world language models?
- What are some common challenges in adapting language models to new domains, and how can they be addressed?
- How does the choice of pre-training task and dataset impact the robustness of language models in real-world scenarios?
- What role do techniques like few-shot learning and meta-learning play in improving language model robustness?
- How can language model developers ensure that their models are robust to out-of-domain data and tasks?
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